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Strategic Fuzzy Extensions and Decision-making Techniques

Erstverkaufstag: 01.07.2024

Langbeschreibung
The text discusses a novel correlation coefficient of linguistic intuitionistic fuzzy sets and its application to medical diagnosis problems. It further explains neutrosophic cubic set-based aggregation operators for library ranking systems, and techniques for order performance by similarity to ideal solution.
Inhaltsverzeichnis
1. Fuzzy decision-making: Introduction and features. 2. Preliminaries. 3. Multi-attributed decision making using enhanced possibility degree measure of intuitionistic fuzzy set. 4. A new score function for interval-valued intuitionistic fuzzy set and its application to MADM problems with partial weight information. 5. Multiple attribute decision making based on generalized intuitionistic fuzzy weighted Hamy Mean aggregation operator of intuitionistic fuzzy values. 6. New distance measure for intuitionistic fuzzy set and its application in multi-attribute decision making. 7. A novus distance measure of intuitionistic fuzzy sets: an application of seaport-dry port selection via fuzzy SWOT analysis. 8. Maclaurin symmetric mean operator based MADM approach for type-2 intuitionistic fuzzy sets. 9. Distance Measure Between Intuitionistic Fuzzy Sets with its Application to TOPSIS and Decision-Making Problems. 10. Power Einstein Aggregation Operators of Intuitionistic Fuzzy Sets and Their Application in MADM. 11. Effectiveness of MADM in q-rung orthopair fuzzy sets: a novel entropy measure based TOPSIS method. 12. A novel similarity measure for advanced fuzzy set with applications to multiple attribute decision making. 13. Fermatean Fuzzy Sets in Multiset Framework with Application in Diagnostic Process based on Composite Relations. 14. Advanced possibility degree measure for linguistic q-rung orthopair fuzzy set and its application in multi-attribute decision making. 15. Future implications and scope.
Dr. Kamal Kumar is an Assistant professor at Amity University Haryana, Gurugram, India. Prior to joining this university, Dr Kumar received his doctoral degree at Thapar Institute of Engineering & Technology Patiala, Punjab, India in 2020. He obtained his master's degree in mathematics during 2012 - 2014. He has more than seven years of teaching experience in different subjects of Engineering Mathematics and Statistics. He teaches Fuzzy Set Theory, Optimization techniques and Statistics at under-graduate and post-graduate levels. His current research interest is in fuzzy decision making, aggregation operators, soft computing, and uncertainty theory. He has published more than 50 international articles in different reputed SCI journals, including the Information Sciences, Transactions on Fuzzy Systems, Soft Computing, Artificial Intelligence Review, Applied Intelligence, Arabian Journal for Science and Engineering, etc. He has also published 5 book chapters and 2 patents. His Google citation is over 2000 with h-index 21 and i10 index 26. He is an associate editor in the journal "Mathematical Problems in Engineering" and "Journal of Applied Mathematics". He has been a reviewer for some prestigious journals of Elsevier, Springer, Taylor & Francis. He is listed in the top 2% of Scientists in the World in all disciplines in 2021, 2022 & 2023 (three consecutive years) based on Stanford Univ. and Elsevier B.V.
ISBN-13:
9781040088692
Veröffentl:
2024
Erscheinungsdatum:
01.07.2024
Autor:
Kamal Kumar
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch

134,99 €*

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